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MALDI-TOF mass spectrometry typing for predominant serovars of non-typhoidal Salmonella in a Thai broiler industry
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Document Title
MALDI-TOF mass spectrometry typing for predominant serovars of non-typhoidal Salmonella in a Thai broiler industry
Author
Mangmee S, Reamtong O, Kalambaheti T, Roytrakul S, Sonthayanon P
Name from Authors Collection
Affiliations
Mahidol University; Mahidol University; National Science & Technology Development Agency - Thailand; National Center Genetic Engineering & Biotechnology (BIOTEC); Mahidol Oxford Tropical Medicine Research Unit (MORU); Mahidol University
Type
Article
Source Title
FOOD CONTROL
ISSN
0956-7135
Year
2020
Volume
113
Page
-
Open Access
hybrid
Publisher
ELSEVIER SCI LTD
DOI
10.1016/j.foodcont.2020.107188
Format
Abstract
Rapid and reliable detection of non-typhoidal Salmonella (NTS) is essential for effective monitoring and controlling in broiler industries. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has been reported as a sensitive and accurate method for microbial investigations at genus and species level while subspecies level is still obscure. Here, we developed a MALDI-TOF MS-based method to improve the simultaneous identification of species, subspecies, and serovars of NTS isolated from broiler samples in a Thai slaughtering and processing factory. Whole-cell peptide patterns from 142 NTS isolates were integrated with the commercial database for species and subspecies identification based on weighted pattern (subtyping MSP) matching. Serovar-specific peaks were searched and determined using the machine-learning analysis. The classification tree was created for detection of the five predominant NTS serovars (i.e., Albany, Agona, Typhimurium/I 4,[5],12:i:-, Altona, and Enteritidis). One hundred and forty-five NTS isolates were evaluated and yielded all accurate identification at species and subspecies level corresponding to conventional methods. Besides, the serovar classification was achieved with 99.3% accuracy when compared with serotyping. This method would be useful for large scale screening of NTS serovars in food industries where cost-effectiveness, rapid and highly accurate methods are required.
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Funding Sponsor
Thailand Research Fund [PHD60I0037, RDG61I0004]
License
CC-BY-NC-ND
Rights
Authors
Publication Source
WOS